Triple
T7138256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatty |
E166365
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Mr Goon |
E166369
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mr Goon | Statement: [Fatty, antagonist, Mr Goon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr Goon Context triple: [Fatty, antagonist, Mr Goon]
-
A.
Mr Goon
chosen
Mr Goon is the bumbling, bad-tempered village policeman who frequently clashes with the child detectives in Enid Blyton’s Mystery Series.
-
B.
Goon
Goon is a 2011 sports comedy film in which Seann William Scott stars as a kind-hearted but tough enforcer on a minor league hockey team.
-
C.
Gonzo
Gonzo is a high-altitude Gulfstream IV-SP jet operated by NOAA for atmospheric research and hurricane reconnaissance missions.
-
D.
Gonzo the Great
Gonzo the Great is a daredevil, eccentric blue Muppet known for his bizarre stunts and offbeat sense of humor in The Muppet Show franchise.
-
E.
Magoo
Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e694cc3c81908b0d54c2496a0722 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a34b99048190a8e77cd0fe253611 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.